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python - “ValueError：无法将字符串转换为浮点数：”机器学习适合分类器

问题描述

当我尝试拟合分类器时出现错误：

ValueError：无法将字符串转换为浮点数：'4/1/2010'

# Load the Pandas libraries with alias 'pd'
import pandas as pd
import matplotlib.pyplot as plt
import numpy as np
from sklearn.linear_model import LinearRegression
from sklearn.metrics import mean_squared_error
from math import sqrt
from ml_metrics import rmse

# Read data from file 'filename.csv'
# (in the same directory that your python process is based)
# Control delimiters, rows, column names with read_csv (see later)
data = pd.read_csv("NASDAQ.csv")
data.dropna(inplace=True)

#df.drop_duplicates(inplace=True)
nInstances, nAttributes = data.shape
if data.shape[0]:
    train = data[:1762]
    test = data[1762:]
x_train= train.values[:,0:nAttributes-1]
y_train= train.values[:,nAttributes-1]


# classifiers Linear Regression, Logistic Regression, kNN, SVM και MLP
clf = LinearRegression().fit(x_train, y_train)

你能检查一下并帮我弄清楚问题出在哪里吗？

标签： pythonmachine-learning

解决方案

特别是对于日期列，您可以parse_dates=['column name']在阅读此答案所建议的 csv 时使用。

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